code: def init_feats(
      batch_size: int = 10,
      num_channels: int = 256,
      device: str = "cuda",
  ):
      H, W = [14, 28], [14, 28]
      feats = []
      for h, w in zip(H, W):
          feats.append(
              torch.rand(
                  (batch_size, num_channels, h, w), device=device
              )
          )
      return feats
  
file_path: pytorch3d/tests/test_vert_align.py
imports: import unittest
  import torch
  import torch.nn.functional
  from pytorch3d.ops.vert_align import vert_align
  from pytorch3d.structures.meshes import Meshes
  from pytorch3d.structures.pointclouds import Pointclouds
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 4 for calling the TestVertAlign obj's underlying member method code with example usage: obj.init_feats(batch_size, num_channels, device) and returns: feats